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Semantic Segmentation

Papers

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Showing 6501–6550 of 14763 papers

TitleStatusHype
FlexiFly: Interfacing the Physical World with Foundation Models Empowered by Reconfigurable Drone Systems—0
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection—0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
Better (pseudo-)labels for semi-supervised instance segmentation—0
TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models—0
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting—0
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance SegmentationCode0
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes—0
Financial Table Extraction in Image Documents—0
MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception—0
Circle Representation for Medical Instance Object SegmentationCode0
MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation—0
Object Segmentation-Assisted Inter Prediction for Versatile Video Coding—0
EffiPerception: an Efficient Framework for Various Perception Tasks—0
OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation—0
LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation—0
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic SegmentationCode0
Intelligent Railroad Grade Crossing: Leveraging Semantic Segmentation and Object Detection for Enhanced Safety—0
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation—0
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation—0
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation—0
Task-Aware Low-Rank Adaptation of Segment Anything Model—0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—0
Topologically Faithful Multi-class Segmentation in Medical Images—0
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning—0
When Training-Free NAS Meets Vision Transformer: A Neural Tangent Kernel Perspective—0
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model—0
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects—0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
TBI Image/Text (TBI-IT): Comprehensive Text and Image Datasets for Traumatic Brain Injury Research—0
WeakSurg: Weakly supervised surgical instrument segmentation using temporal equivariance and semantic continuity—0
Annotation Free Semantic Segmentation with Vision Foundation Models—0
MARVIS: Motion & Geometry Aware Real and Virtual Image SegmentationCode0
Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation—0
Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches—0
OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving—0
Federated Data Model—0
An Active Contour Model Driven By the Hybrid Signed Pressure Function—0
Mitigating the Impact of Attribute Editing on Face Recognition—0
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution—0
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationCode0
Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy—0
3DRef: 3D Dataset and Benchmark for Reflection Detection in RGB and Lidar Data—0
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine—0
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation—0
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified